Instructions to use amitjain171980/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amitjain171980/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amitjain171980/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("amitjain171980/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 595919be737313caa51a25b0932aa25f1a6b01692637acd5fa2afc8131994c0f
- Size of remote file:
- 5.24 kB
- SHA256:
- a32d6ea5ef1f0ffc41df4e9628673b9f95053c5173b4ac1fed468a57943e8432
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